Course 1
COURSE 1 · FOUNDATIONS
Schedule
Every lab, every deck, every R script — in the order they are meant to be read.
| Week | # | Topic | Article | Slides | Script |
|---|---|---|---|---|---|
| 1 | 1 | Scientific process & research workflow | lab | slides | R |
| 1 | 2 | R, RStudio, Quarto, renv toolchain | lab | slides | R |
| 1 | 3 | Data types, tidy data, measurement quality | lab | slides | R |
| 1 | 4 | Import, joins, missingness with dplyr | lab | slides | R |
| 1 | 5 | ggplot2 grammar and multi-panel layouts | lab | slides | R |
| 2 | 6 | Descriptives and Table 1 with gtsummary | lab | slides | R |
| 2 | 7 | Probability and Bayes’ theorem | lab | slides | R |
| 2 | 8 | Diagnostic testing | lab | slides | R |
| 2 | 9 | Discrete distributions | lab | slides | R |
| 2 | 10 | Continuous distributions and Q-Q plots | lab | slides | R |
| 3 | 11 | Populations, samples, CLT by simulation | lab | slides | R |
| 3 | 12 | Bootstrap and permutation | lab | slides | R |
| 3 | 13 | Maximum likelihood and standard errors | lab | slides | R |
| 3 | 14 | One-sample t and one-proportion | lab | slides | R |
| 3 | 15 | Hypothesis testing philosophy | lab | slides | R |
| 4 | 16 | Two-sample and paired t; effect sizes | lab | slides | R |
| 4 | 17 | Two proportions and goodness-of-fit | lab | slides | R |
| 4 | 18 | Pearson and Spearman correlation | lab | slides | R |
| 4 | 19 | Non-parametric tests | lab | slides | R |
| 4 | 20 | Sample size, power, Quarto reporting | lab | slides | R |